# DeepL MCP Server (`agentify/deepl-mcp-server`) Actor

A Model Context Protocol (MCP) server that provides translation capabilities using the DeepL API.

- **URL**: https://apify.com/agentify/deepl-mcp-server.md
- **Developed by:** [agentify](https://apify.com/agentify) (community)
- **Categories:** MCP servers, AI, Open source
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### DeepL MCP Server

A Model Context Protocol (MCP) server that provides translation capabilities using the DeepL API.

**About this MCP Server:** To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at [mcp.apify.com](https://mcp.apify.com)..

### Connection URL

MCP clients can connect to this server at:

```text
https://mcp-servers--deepl-mcp-server.apify.actor/mcp
```

### Client Configuration

To connect to this MCP server, use the following configuration in your MCP client:

```json
{
  "mcpServers": {
    "playwright": {
      "url": "https://mcp-servers--deepl-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

**Note:** Replace `YOUR_APIFY_TOKEN` with your actual Apify API token. You can find your token in the [Apify Console](https://console.apify.com/account/integrations).

### 🚩 Claim this MCP server

All credits to the original authors of <https://github.com/DeepLcom/deepl-mcp-server/tree/main>
To claim this server, please write to <ai@apify.com>.

### Features

- Translate text between numerous languages
- Rephrase text using DeepL's capabilities
- Access to all DeepL API languages and features
- Automatic language detection
- Formality control for supported languages

### Available Tools

This server provides the following tools:

- `get-source-languages`: Get list of available source languages for translation
- `get-target-languages`: Get list of available target languages for translation
- `translate-text`: Translate text to a target language
- `rephrase-text`: Rephrase text in the same or different language

### Tool Details

#### translate-text

This tool translates text between languages using the DeepL API.

Parameters:

- `text`: The text to translate
- `targetLang`: Target language code (e.g., 'en-US', 'de', 'fr')
- `formality` (optional): Controls formality level of the translation:
  - `'less'`: use informal language
  - `'more'`: use formal, more polite language
  - `'default'`: use default formality
  - `'prefer_less'`: use informal language if available, otherwise default
  - `'prefer_more'`: use formal language if available, otherwise default

#### rephrase-text

This tool rephrases text in the same or different language using the DeepL API.

Parameters:

- `text`: The text to rephrase
- `style`: (optional): Style of rephrasing:
  - `'default'`
  - `'academic'`
  - `'business'`
  - `'casual'`
- `tone`: (optional): Tone of rephrasing:
  - `'default'`
  - `'confident'`
  - `'diplomatic'`
  - `'enthusiastic'`
  - `'friendly'`

Note: You can use the `get-writing-styles-and-tones` tool to see all available styles and tones.

### Supported Languages

The DeepL API supports a wide variety of languages for translation. You can use the `get-source-languages` and `get-target-languages` tools to see all currently supported languages.

Some examples of supported languages include:

- English (en, en-US, en-GB)
- German (de)
- Spanish (es)
- French (fr)
- Italian (it)
- Japanese (ja)
- Chinese (zh)
- Portuguese (pt-BR, pt-PT)
- Russian (ru)
- And many more

### References

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp)
- [Webinar: Building and Monetizing MCP Servers on Apify](https://www.youtube.com/watch?v=w3AH3jIrXXo)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("agentify/deepl-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("agentify/deepl-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call agentify/deepl-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,agentify/deepl-mcp-server"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/HVlQ1P7XQHYoxBSwF/builds/dQIZsQMrhDmVS4e4h/openapi.json